An Automated Algorithm for Constructing Maps of Defects in Active Thermal Testing
| Parent link: | Russian Journal of Nondestructive Testing Vol. 55, iss. 8.— 2019.— [P. 617-621] |
|---|---|
| Main Author: | Chulkov A. O. Arseniy Olegovich |
| Corporate Authors: | Национальный исследовательский Томский политехнический университет Инженерная школа неразрушающего контроля и безопасности Центр промышленной томографии Научно-производственная лаборатория "Бетатронная томография крупногабаритных объектов", Национальный исследовательский Томский политехнический университет Инженерная школа неразрушающего контроля и безопасности Центр промышленной томографии Научно-производственная лаборатория "Тепловой контроль" |
| Other Authors: | Nesteruk D. A. Denis Alekseevich, Vavilov V. P. Vladimir Platonovich |
| Summary: | Title screen The algorithm makes it possible to simplify the procedure for processing results of the thermal testing aimed at both revealing latent defects and evaluating their transverse dimensions and shape. Applying this algorithm requires certain participation and experience of the thermography operator, as well as preliminary preparation of initial data by using techniques that increase the signal-to-noise ratio. The algorithm includes selection of defective zones on the thermogram of the test object, automated identification of points with extreme signals, and a pixel-by-pixel threshold analysis of the zones adjacent to these points, culminating in the construction of binary defect maps. Режим доступа: по договору с организацией-держателем ресурса |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://doi.org/10.1134/S1061830919080035 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663950 |
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